code: def _merge_right_context(
      self, right_context: torch.Tensor, B: int
  ) -> torch.Tensor:
      # (num_segments * B, D, right_context_length)
      right_context = right_context.reshape(
          -1, B, self.input_dim, self.right_context_length
      )
      right_context = right_context.permute(0, 3, 1, 2)
      return right_context.reshape(-1, B, self.input_dim)
  
imports: import math
  from typing import List, Optional, Tuple
  import torch
  from torchaudio.models.emformer import _EmformerAttention, _EmformerImpl, _get_weight_init_gains
label_desc: Use image node_id 3 for calling the _ConvolutionModule obj's underlying member method code with example usage: obj._merge_right_context(right_context, B) and returns: right_context